androula@cb.ecn.purdue.edu (Ioannis Androulakis) (06/26/89)
I would like to know if there has been any work done attempting to discover patterns in GA search. My basic concern is how I can draw knowledge from the system and maybe I could do that if I were able to study how patterns behave, while they are formed. This might contradict the basic notion of "implicit parallelism" in GA search, but could also help in understanding why a particular system evolved that way or another. I would like to see whether I am able to learn while studing how GAs create new generations. I will appreciate any suggestion, thank you yannis androula@helium.ecn.purdue.edu
dmark@cs.Buffalo.EDU (David Mark) (06/27/89)
In article <1020@cb.ecn.purdue.edu> androula@cb.ecn.purdue.edu (Ioannis Androulakis) writes: > > I would like to know if there has been any work done attempting > to discover patterns in GA search. ... > ... ... ... > in GA search, but could also help in understanding why a particular > ... ... ... > am able to learn while studing how GAs create new generations. > ... ... ... > Come on! PLEASE give the full version at least once, and not just the acronym! To me, GA is "Graduate Assistant" or "Geographical Analysis". And I have read this group for over a year, and sat in on some courses, so I am (fairly) sure that this is not a dumb question. Remember, usenet is a quite diverse community, with new users joining all the time, and many cross-disciplinary readers and posters. David Mark dmark@cs.buffalo.edu
robinson@prism.gatech.EDU (Stephen M. Robinson) (06/27/89)
I believe the author is looking for information pertaining
to genetic algorithms.
--
Stephen M. Robinson, AI Group, School of Information and Computer Science
Georgia Institute of Technology, Atlanta Georgia, 30332-0280 404-894-8932
uucp: ...!{allegra,amd,hplabs,ut-ngp}!gatech!prism!robinson
Internet: robinson@prism.gatech.edukern@arecibo.aero.org (06/27/89)
In article <7388@cs.Buffalo.EDU>, dmark@cs.Buffalo.EDU (David Mark) writes... > >Come on! PLEASE give the full version at least once, and not just the >acronym! To me, GA is "Graduate Assistant" or "Geographical Analysis". >And I have read this group for over a year, and sat in on some courses, so >I am (fairly) sure that this is not a dumb question. Remember, usenet is >a quite diverse community, with new users joining all the time, and many >cross-disciplinary readers and posters. > GAs are *relatively* new things refering to Genetic Algorithms, algorithms which try to make new combinations out of previously successful patterns or rules in order to discover new rules. JC Kern Kern@arecibo.aero.org (213) 336-3573
gall@yunexus.UUCP (Norman R. Gall) (06/27/89)
robinson@prism.gatech.EDU (Stephen M. Robinson) writes: >I believe the author is looking for information pertaining >to genetic algorithms. Could we who live in the AI underworld have a reference for this? nrg -- York University |"_Wanting_ to think is one thing; Department of Philosophy | having a talent for thinking another" Toronto, Ontario, Canada | - L. Wittgenstein (CV 44) _____________________________________________________________________________
kern@arecibo.aero.org (06/28/89)
In article <2456@yunexus.UUCP>, gall@yunexus.UUCP (Norman R. Gall) writes... >>I believe the author is looking for information pertaining >>to genetic algorithms. > >Could we who live in the AI underworld have a reference for this? > David Goldberg, a former student of John Holland, wrote a good book concerning genetic algorithms: Genetic Algorithms in Search, Optimization, and Machine Learning Addison-Wesley Publishing Co., copyright 1989 :: JC Kern :: kern@arecibo.aero.org :: (213) 336-3573
robinson@prism.gatech.EDU (Stephen M. Robinson) (06/28/89)
In article <2456@yunexus.UUCP> gall@yunexus.UUCP (Norman R. Gall) writes: >robinson@prism.gatech.EDU (Stephen M. Robinson) writes: >>I believe the author is looking for information pertaining >>to genetic algorithms. >Could we who live in the AI underworld have a reference for this? >nrg I am not a researcher in genetic algorithms so I can't point you personally to "classic" refs but I have found some possible sources. So, the following refs are provided "as is:" :-) BTW, GA's have been discussed several times in the past on comp.ai but I did not follow the discussions so the following may be redundant. First, a couple of lists gleaned from fellow students' computer accounts here at Georgia Tech. ======================================== The following books give a good overview of genetic learning systems: Adaptation in Natural and rtificial Systems, J. H. Holland, Univ. Michigan Press: Ann Arbor, 1975. Induction: Processes of Inference, Learning, and Discovery, J. H. Holland, K. J. Holyoak, R. E. Nisbett and P. A. Thagard, MIT Press: Cambridge, 1986. Genetic Algorithms and Simulated Annealing, L. Davis (ed.), Pitman: London, 1987. Genetic Algorithms and Their Applications: Proceedings of the 2nd Intl. Conf. Genetic Algorithms, J. J. Grefenstette (ed.), Lawrence Erlbaum Assoc: Hillsdale, 1987. There is also a bulletin board devoted to genetic algorithms and related topics. To join, send a request to: GA-List-Request@NRL-AIC.ARPA [Note: I have no idea whether this list is still active.] ========= [No sources were listed with these so I don't know if they will help] Rosenberg, R. S. (1967) "Simulation of genetic populations with biochemical properties", studies the evolution of populations of single-celled organisms. Reynolds, R. G. (1979) "An adaptive computer model of the evolution of agriculture for hunter-gatherers in the valley of Oaxaca, Mexico", a study that explains a body of archaeological findings. Booker, L. B. (1982) "Intelligent behavior an an adaptation to the task environment", a computational model of cognition and learning in simple creatures. Perry, Z. A. (1984) "Experimental study of speciation in ecological niche theory using genetic algorithms" Grosso, P. B. (1985) "Computer simulation of genetic adaptation: Parallel subcomponent interaction in a multilocus model", studies diploid representations and explicit migration among subpopulations. =========================== Then, I took a quick look at our online IEEE publications catalog and found the following general sources: The journal _Machine Learning_, vol 3., no. 2-3 has a collection of papers on genetic algorithm related topics. I found at least 30 papers from the _2nd International Conference on Genetic Algorithms_, 1987, Cambridge, MA July 1987. Published by LEA, Inc Hillsdale, NJ. I suppose there was a 1st Conf. too..... One of the papers in the first list above is in these proceedings. Also, "Learning using classifier systems: a survey" in Proceedings of CIPS Edmonton '87: Intelligent Integration, Nov 1987. Published by Edmonton Alta, Canadian Information Processing Society. There were others but I don't have time to transcribe them. Hope these help. -- Stephen M. Robinson, AI Group, School of Information and Computer Science Georgia Institute of Technology, Atlanta Georgia, 30332-0280 404-894-8932 uucp: ...!{allegra,amd,hplabs,ut-ngp}!gatech!prism!robinson Internet: robinson@prism.gatech.edu
marcap@concour.CS.Concordia.CA (Marc Pawlowsky) (07/05/89)
In article <2456@yunexus.UUCP> gall@yunexus.UUCP (Norman R. Gall) writes: >robinson@prism.gatech.EDU (Stephen M. Robinson) writes: >>I believe the author is looking for information pertaining >>to genetic algorithms. > >Could we who live in the AI underworld have a reference for this? > I am writing a thesis on GA's specifically using the rule production models. If anybody wants my bibliography I can mail them a copy. Please send me your E-mail address if you want a copy.
weltyc@cs.rpi.edu (Christopher A. Welty) (07/06/89)
The Third International Conference on Genetic Algorithms was just held at George Mason University a few weeks ago. The proceedings are available from Morgan Kaufman. Christopher Welty --- Asst. Director, RPI CS Labs | "Porsche: Fahren in weltyc@cs.rpi.edu ...!njin!nyser!weltyc | seiner schoensten Form"